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A micro-crosslinked amphoteric hydrophobic association copolymer as high temperature-and salt-resistance fluid loss reducer for water-based drilling fluids

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Petroleum Science 2024年第3期21卷 1980-1991页

作者： Jian Li Yu-Xi Ji Xiao-Xiao Ni Kai-He Lv Xian-Bin Huang Jin-Sheng Sun School of Petroleum Engineering China University of Petroleum(East China)Qingdao266580ShandongChina Key Laboratory of Unconventional Oil&Gas Development China University of Petroleum(East China)Qingdao26650ShandongChina Inspection and Testing Center of Huabei Oil Field Company PetroChinaRenqiu062552HebeiChina Drilling Fluid Research Institute CNPC Engineering Technology R&D Company LimitedBeijing102206China

during ultradeep oil and gas drilling,fluid loss reducers are highly important for water-based drilling fluids,while preparing high temperature-and salt-resistance fluid loss reducers with excellent rheology and filtration performance remains a ***,a micro-crosslinked amphoteric hydrophobic association copolymer(i.e.,dAdC)was synthesized using N,N-dimethyl acrylamide,diallyl dimethyl ammonium chloride,2-acrylamido-2-methylpropane sulfonic acid,hydrophobic monomer,and pentaerythritol triallyl ether *** to the synergistic effects of hydrogen bonds,electrostatic interaction,hydrophobic association,and micro-crosslinking,the dAdC copolymer exhibited outstanding temperature-and *** rheological experiments have shown that the dAdC copolymer had excellent shear dilution performance and a certain degree of salt-responsive viscosity-increasing *** dAdC copolymer could effectively adsorb on the surface of bentonite particles through electrostatic interaction and hydrogen bonds,which bring more negative charge to the bentonite,thus improving the hydration and dispersion of bentonite particles as well as the colloidal stability of the drilling ***,the drilling fluids constructed based on the dAdC copolymer exhibited satisfactory rheological and filtration properties(FLHTHP=12 m L)after aging at high temperatures(up to200℃)and high salinity(saturated salt)***,this work provided new insights into designing and fabricating high-performance drilling fluid treatment agents,demonstrating good potential applications in deep and ultradeep drilling engineering.

关键词： Fluid loss reducer Temperature-and salt-resistance Hydrophobic association Amphoteric Micro-crosslinking

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designing high k dielectric films with LiPON-Al_(2)O_(3)hybrid structure by atomic layer deposition

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Chinese Physics B 2022年第5期31卷 647-651页

作者： Ze Feng Yitong Wang Jilong Hao Meiyi Jing Feng Lu Weihua Wang Yahui Cheng Shengkai Wang Hui Liu Hong dong Engineering Research Center of Thin Film Optoelectronics Technology Ministry of EducationNankai UniversityTianjin 300350China High-Frequency High-Voltage Device and Integrated Circus R&D Center Institute of Microelectronics of the Chinese Academy of SciencesBeijing 100029China

A large amount of ultra-low-power consumption electronic devices are urgently needed in the new era of the internet of things,which demand relatively low frequency ***,atomic layer deposition has been utilized to fabricate the ion polarization dielectric of the Li PON-Al_(2)O_(3) hybrid *** Li PON thin film is periodically stacked in the Al_(2)O_(3) *** hybrid structure presents a frequency-dependent dielectric constant,of which k is significantly higher than the aluminum oxide matrix from 1 k Hz to 200 k Hz in *** increased dielectric constant is attributed to the lithium ions shifting locally upon the applied electrical field,which shows an additional polarization to the Al_(2)O_(3) *** work provides a new strategy with promising potential to engineers for the dielectric constant of the gate oxide and sheds light on the application of electrolyte/dielectric hybrid structure in a variety of devices from capacitors to transistors.

关键词： high k dielectric atomic layer deposition polarization

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Study on a novel liquid air energy storage system integrated with two-column air separation unit 4

Study on a novel liquid air energy storage system integrated...

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4th International Conference on New Energy and Power engineering, ICNEPE 2024

作者： Li, Ningzhi Zhang, Chaoyu Zhang, Haochen Yu, Boxu Yu, Zhangying Wang, Zhongzheng Hu, Peng Feng, Jiangzhe New Energy Engineering Technology Co. Ltd National Energy Wind Power Operation Technology R&d Center Equipment Technology Center Electrical Control Department Beijing China New Energy Engineering Technology Co. Ltd Equipment Technology Center Electrical Control Department Beijing China North China Electric Power University School of Energy Power and Mechanical Engineering Beijing China New Energy Engineering Technology Co. Ltd Beijing China

ISBN: (纸本)9798331516086

The liquid air energy storage (LAES) system offers advantages such as high energy density and strong flexibility and is often coupled with external energy sources or processes to enhance its applicability. This paper proposes a novel LAES system integrating with a two-column cryogenic air separation unit (ASU). during the charging phase, the gaseous products from the separation tank of LAES are used to supply the ASU with feedstock, while the stored liquid air provides cooling to the ASU. Additionally, external air is supplied to compensate for the shortage of oxygen in the feedstock. during the discharging phase, the ASU operates solely through the supplementary air supply, reducing the system's power consumption. This study analyzes the operational characteristics of the coupled LAES-ASU system and discusses the effect of liquid air supply of LAES to the ASU on the system performance. © 2024 IEEE.

关键词： Feedstocks

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design and Simulation of Hinge-type ro-ro (roll-on/roll-off) Ship Car deck Structure 33rd

Design and Simulation of Hinge-type Ro-Ro (Roll-on/Roll-off)...

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33rd International Ocean and Polar engineering Conference, ISOPE 2023

作者： Kim, Hyun Soo Cho, Min Goo Kang, Sung Wook Kim, Jae Woong Pyo, Chang Min Ji, Chang Wook Park, Jang Ik Precision Mechanical Process and Control R&D Group Korea Institute of Industrial Technology Gyeongsangnam-do Jinju Korea Republic of Automotive Materials & Components R&D Group Korea Institute of Industrial Technology Gwangju Korea Republic of Advanced Forming Process R&D Group Korea Institute of Industrial Technology Ulsan Korea Republic of Research center Dae Lyun Engineering Co. Ltd. Busan Korea Republic of

ISBN: (纸本)9781880653807

ro-ro ships can roll-on or roll-off cargo with self-driving power such as passenger cars and trucks, and container cargo on transport devices such as trucks or trailers on a ramp. The representative types of ro-ro ships are PCC (Pure Car Carrier) and PTCT (Pure Car & Truck Carrier). ro-ro ship is configured to load as many cargoes as possible by dividing the cargo hold into multiple card decks up and down. It is necessary to adjust the height of the car deck according to the type of vehicle being loaded. For this purpose, a number of fillers are installed on the inner deck of the ro-ro ship. In other words, to load high cargo such as heavy equipment on the car deck, the height between the decks must be high. At this time, the liftable car deck is adjusted using the deck lifter installed on the pillar. Existing liftable car deck structures are made of a single large plate, so it takes a lot of time and money to install and dismantle them. In this study, a hinge-type liftable car deck was designed. In addition, the overall structural integrity including the hinge was evaluated through structural analysis in accordance with the classification regulations. © 2023 by the International Society of Offshore and Polar Engineers (ISOPE).

关键词： Arctic engineering

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research on Smart Photovoltaic Power Station Control System Based on dCS Architecture

Research on Smart Photovoltaic Power Station Control System ...

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2024 International Conference on Computer Communication, Networks and Information Science, CCNIS 2024

作者： Zhan, Lei Chn Energy Zhishen Control Technology Co. Ltd. Beijing Engineering Research Center of Power Station Automation State R&D Center of Control System and Information Security Technologies for Energy Industry Beijing102211 China

ISBN: (纸本)9798331507046

Aiming at the operation and maintenance management and control issues of large-scale photovoltaic power stations, a smart photovoltaic power station control system based on dCS architecture was studied. In terms of system architecture design, the design idea based on the 'cloud-edge-end' architecture is adopted, and some core equipment and data storage devices in the site are placed in the cloud to achieve centralized management and storage of data. At the same time, some computationally intensive tasks are processed in the cloud to reduce the computing pressure on edge devices. Applying this system to the control of photovoltaic power plants can achieve precise control of operation and maintenance data, and enable the identification and accurate processing of different faults. Comparing the fault identification algorithm used in this system with other algorithms, the results prove that the fault identification accuracy of this algorithm can reach 100℅, creating a large amount of economic benefits for the stable operation of photovoltaic power plants. © 2024 IEEE.

关键词： Ferroelectric rAM

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Efficient Adsorptive denitrogenation on a Metal-organic Framework-based Cocatalyst with Fluorine Modification

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China Petroleum Processing & Petrochemical technology 2024年第4期26卷 73-83页

作者： Hou Changan Yang Qinghe Li Huifeng Zhao Zhe Wang danhong TKL of Metal and Molecule Based Material ChemistrySchool of Materials Science and EngineeringNankai UniversityTianjin 300350China National Energy R&D Center of Petroleum Refining Technology SINOPEC Research Institute of Petroleum Processing Co.Ltd.Beijing 100083China

NH_(2)-MIL-125 is one of the most promising metal-organic frameworks(MOFs)for use as an adsorbent to remove nitrogen-containing compounds(NCCs)from *** this study,NH_(2)-MIL-125 was further modified by loading the highly electronegative F and the heteropoly acid phosphomolybdic acid hydrate(PMA).Hydrogen bonds are suggested to form between F and PMA.X-ray diffraction(Xrd)and scanning electron microscopy(SEM)showed that the addition of these elements altered the morphology of NH_(2)-MIL-125,resulting in the growth of sectional octahedrons and *** adsorptive denitrogenation(AdN)activity of 10%PMA@M125 was 1.7 times greater than that of NH_(2)-MIL-125 without F and *** synergistic effect of F and PMA on the morphology and structure of NH_(2)-MIL-125 was examined,with a focus on different PMA *** study provides a simple method for modifying the morphology and structure of NH_(2)-MIL-125 by adding the required elements.

关键词： metal-organic frameworks phosphomolybdic acid adsorptive denitrogenation fluorine

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Investigation on the temperature-dependent diffusion growth of intermetallic compounds in the Mg-Al-Zn system:Experiment and modeling

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Journal of Magnesium and Alloys 2024年第8期12卷 3394-3408页

作者： Kaiming Cheng Yan Zheng Jiaxing Sun Yafei Zhao Jin Wang Huan Yu dongqing Zhao Hang Li Jixue Zhou Zhenyu Ma Junmin Wang Cuiping Guo Xitao Wang Lijun Zhang Yong du Shandong Provincial Key Laboratory of High Strength Lightweight Metallic Materials Advanced Materials InstituteQilu University of Technology(Shandong Academy of Sciences)Jinan250014China Laboratory of Materials Phase Equilibria and New Materials Design School of Materials Science and EngineeringUniversity of Science and Technology BeijingBeijing 100083China Technology R&D Center Shandong Qiangang Metal Technology Co.LtdJining272000China State Key Laboratory of Powder Metallurgy Central South UniversityChangsha410083China

With the rapid development of Mg alloys,deeper understanding to the thermodynamic and diffusional kinetic behavior of intermetallic compounds(IMCs)is important for studying the effect of alloying elements to the microstructure ***,a systematic quantitative investigation on the diffusional growth of IMCs is of great ***,the works studying the elemental diffusion behaviors of multiple-element IMCs are rare in magnesium alloy *** current work takes the ternary Mg-Al-Zn system as research target,and combines the diffusion couple technique,phase stability diagrams,in-situ observation technique and numerical inverse method to investigate the temperature-dependent kinetic *** parabolic growth constant(PGC)and interdiffusion coefficients for Mg solid-solution phase andγ-Mg_(17)Al_(12),β-Mg_(2)Al_(3),ε-Mg_(23)Al_(30),MgZn_(2),Mg_(2)Zn_(3),τ-Mg_(32)(Zn,Al)49 andφ-Mg_(5)Zn_(2)Al_(2) IMCs in the Mg-Al-Zn alloy system are *** comparing the current experimental with calculation results,the rate-controlling factor of the temperature-dependent diffusion growth ofφ,τandεternary IMCs in the Mg-Al-Zn system is further discussed in detail.

关键词： diffusion couple Phase stability diagram Numerical inverse method(NIM) Interface migration High-temperature laser-scanning confocal microscopy(HTLSCM)

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A review of Techniques for Lightweight Monocular depth Estimation

A Review of Techniques for Lightweight Monocular Depth Estim...

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Asia-Pacific Conference on Applied Electromagnetics, APACE

作者： Abdullah Man Osama M. S. Abuajwa Nor Hidayati Abdul Aziz Center of Robotic & Sensing Technology TM R&D Cyberjaya Malaysia Center For Intelligent Network TM R&D Cyberjaya Malaysia Center for Engineering Computational Intelligence Faculty of Engineering & Technology Multimedia University Melaka Malaysia

ISBN: (数字)9798350364163

ISBN: (纸本)9798350364170

recent advancements in lightweight neural networks have enabled the deployment of monocular depth estimation (MdE) models on embedded platforms, including microcontrollers, mobile devices, and edge computing environments. Importantly, it allows the effective implementation of various applications, including visual synchronous localization and mapping (SLAM) in resource-constrained robotic systems. This review examines multiple approaches currently being explored for lightweight monocular depth estimation models, with a focus on techniques such as architecture optimization, network pruning and slimming, hybrid convolutional neural network (CNN)-transformer architectures, knowledge distillation, quantization, and low-precision computation, efficient training strategies, innovative loss functions, edge information utilization, energy-quality scalability, and improvements in up-sampling and decoders. This review highlights that combining architecture optimization, network pruning, and slimming with quantization and low-precision computation provides the optimal approach for reducing model parameters while preserving high accuracy.

关键词： Training Visualization Quantization (signal) Accuracy reviews depth measurement Computational modeling Source coding Optimization robots

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A succinct enhanced luminescence strategy for fluorescent ionic liquids and the application for detecting CO_(2)

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Green Energy & Environment 2022年第5期7卷 1093-1101页

作者： Siying Che Jiachen Guo Lu Gan Qiaoxin Xiao Haoran Li Yuanbin She Congmin Wang College of Chemical Engineering Zhejiang University of TechnologyHangzhou310014China Department of Chemistry ZJU-NHU United R&D CenterZhejiang UniversityHangzhou310027China Key Laboratory of Biomass Chemical Engineering of Ministry of Education Zhejiang UniversityHangzhou310027China

An interesting phenomenon was found that fluorophore was introduced into ionic liquid(IL)to magnify fluorescence signal via the thermally activated delayed fluorescence process;thus up to 15 fold enhancements were ***,we reported a succinct enhanced luminescence strategy to reduce single-triplet energy split by the tunability of *** strategy could be extended to more kinds of ILs by the virtue of a preliminary dFT calculation ***,the optical feature of IL sensor made it a promising candidate as a gas fluorescence sensor.

关键词： luminescence ionic liquids

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Meat Freshness State Prediction Using a Novel Fifteen Layered deep Convolutional Neural Network

Meat Freshness State Prediction Using a Novel Fifteen Layere...

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International Conference on data Science and Network engineering, ICdSNE 2023

作者： Shyamala devi, M. Arun Pandian, J. Umanandhini, d. Sakineti, Aayush Kumar Jeyaraj, rathinaraja Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Tamilnadu Tiruvallur India School of Information Technology and Engineering Vellore Institute of Technology Vellore India Center for Resilient and Evolving Intelligence Kyungpook National University Daegu41566 Korea Republic of

ISBN: (纸本)9789819967544

The food marketplace needs a quick and reliable system for tracking and assessing the freshness of meat products. However, meat experiences a quick process of freshness deterioration, which leads to bacterial growth. As a result, the need for a reliable and quick way of monitoring and evaluating meat deterioration is growing urgent. By Considering these aspects, this paper proposes a Novel Fifteen Layered deep Convolutional Neural Network (15L-dCNN) to predict the freshness state of meat with maximum accuracy. The model utilizes the Meat Freshness Image dataset extracted from the KAGGLE machine learning repository. The Meat Freshness Image dataset comprises three meat state classes, Fresh Meat, Half Fresh Meat, and Spoiled Meat, with 2269 meat images. The Meat Freshness Image dataset have been subjected to data augmentation and performed with four operations: random horizontal flip, random vertical flip, zooming, and rotation. After data augmentation, the dataset ends with 6000 images. The Meat Freshness Image dataset was splitted into 4800 training images, 600 validation images, and 600 testing images. The Meat Freshness training Images were subjected to the proposed 15L-dCNN and the same dataset was applied to EfficientNet, denseNet, and resNet Large models for evaluating the efficiency metrics. Python was adopted for the execution of NVidia Geforce Tesla V100 GPU workstation with 100 training iterations for a block size of 64. Experimental results show that the proposed model 15L-dCNN shows a maximum accuracy of 98.85%, Precision of 98.33%, recall of 98.25%, misclassification rate of 1.15%, and FScore of 98.24% when compared with another convolutional neural network. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Meats

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